Sahithi Gurram

623-***-****• ad3skb@r.postjobfree.com • www.linkedin.com/in/sahithi-gurram •

SUMMARY

Industry professional with experience in the field of XR(AR/VR/MR) Software, developed XR applications for XR devices, worked on algorithms for XR runtime performance improvements. Also interested in fields, Image processing, Computer Vision and Computer Graphics. Looking for full time opportunities. EDUCATION

M.S. Computer Engineering (Electrical Engineering) May 2022 Arizona State University, Tempe, AZ 3.58 GPA

B.TECH Electronics and Communication Engineering Nov 2018 National Institute of Technology, Durgapur, West Bengal, India 8.48 GPA TECHNICAL SKILLS

Programming Languages: C#, C, C++, Python, MATLAB. Tools: Unity, Unreal, MATLAB, Visual Studio, Android Studio, Git, Teamcity CI/CD. XR: ARFoundation, ARCore, OpenXR, Oculus Integration SDK, Microsoft Mixed Reality Toolkit (MRTK), Snapdragon Spaces SDK, OpenGL.

PROFESSIONAL EXPERIENCE

XR Research Software Engineer, Qualcomm Inc San Diego, CA 07/2022 – 12/2023

● Developed XR Applications on Unity for devices like Oculus Quest, Pico 4, Lenovo A3 glasses, Microsoft Hololens, Android AR applications using Android Studio and ARCore.

● Integrated XR features like hand tracking, spatial meshing and environment understanding, occlusion, plane detection, gestures and interactions in XR, into applications for testing and making the application livelier and more creative.

● Experienced with profiling and debugging tools for Unity, Android and Qualcomm’s native XR debugging tools.

● Contributed to the native XR runtime algorithms.

● Streamlined projects using tools like Git, Teamcity CI/CD.

● Collaborated with XR Hardware and Software teams to develop applications to test native XR frameworks and perform performance logging to set and analyze against native and industry standard benchmarks.

● Worked on Linux OS, Windows OS, Android.

● Researched about latest industry XR updates like Vision Pro, Quest 3 etc, with specific interest towards features like Anchor persistence, Environment Understanding, Semantic segmentation. Research Aide, Meteor Studio, Arizona State University Tempe, AZ: 06/2020 – 06/2022

● Upgraded the GLEAM AR illumination framework with TCP/UDP client-server architecture to improve the real-time experience. Experimented with the WebRTC API to analyze its performance on GLEAM.

● Benchmarked the results of networking in GLEAM on different test scenarios.

● Coordinated with a PhD student in the JMARS AR Viewer project in debugging and improving performance.

● Initiated the idea of dynamic plane expansion through Realtime mesh generation for JMARS AR Viewer. XR Creative Developer, Immersive Creation Studio, Arizona State University Tempe, AZ 05/2021 - 01/2022

● Collaborated with a team of 7 students of different professional disciplines to upskill on AR/VR technology.

● Devised new strategies and plans to incorporate skills acquired, into multidisciplinary mini projects.

● Contributed to the large-scale projects at ICS by assuming the roles of an XR(AR/VR/MR) programmer, Unity developer, and multiplayer developer. Handled operations like mesh generation, profiling, creating 3D assets, physics, collisions, state machines, and rendering optimizations.

RELEVANT PROJECTS

Analyzing Multi-viewpoint Capabilities of Light Estimation Frameworks for Augmented Reality using TCP/IP and UDP, Thesis Spring 2022

• Analyzed the drawbacks of single-viewpoint estimation in AR illumination frameworks using light probes.

• Developed a multi-viewpoint architecture using TCP/IP and UDP network protocols for GLEAM to address problems like quality and computation load.

• Adopted methods like distributed computing and multithreading to improve performance and leverage the computation load.